AI-based Intrusion Detection for Intelligence Internet of Vehicles
Document Type
Article
Publication Title
IEEE Consumer Electronics Magazine
Abstract
With the development of intelligent technologies, Internet of Things (IoT) opens up a new era in the field of automotive networks, namely, Internet of Vehicles (IoV). The main goal of IoV is to provide a secure and reliable network to vehicles so that users can enjoy various services. However, vulnerabilities and incomplete protection mechanisms have led to a proliferation of security threats against IoV networks. Intrusion detection technology is an effective protection solution for IoV security, especially when artificial intelligence (AI) technology has been introduced into intrusion detection study. This article first briefly introduces the concept and features of IoV, and then reviews the related research on AI-based IoV intrusion detection systems. Finally, we discuss the open challenges and future research directions.
First Page
109
Last Page
116
DOI
10.1109/MCE.2021.3137790
Publication Date
12-23-2021
Keywords
Feature extraction, Internet of things, Intrusion detection, Network security, Neural networks, Vehicles
Recommended Citation
D. Man, F. Zeng, J. Lv, S. Xuan, W. Yang and M. Guizani, "AI-based Intrusion Detection for Intelligence Internet of Vehicles," in IEEE Consumer Electronics Magazine, vol. 12, no. 1, pp. 109-116, 1 Jan. 2023, doi: 10.1109/MCE.2021.3137790.
Comments
IR Deposit conditions:
OA version (pathway a) Accepted version
No embargo
When accepted for publication, set statement to accompany deposit (see policy)
Must link to publisher version with DOI
Publisher copyright and source must be acknowledged